Soil properties as point estimations over the Lithuanian pilot area (2022)

Description

In the context of the EU-funded project DIONE (No. 870378), VNIR topsoil reflectance was captured with DIONE’s Soil Scanning System and transformed through Machine Learning modelling to a set of soil properties that are meaningful for the assessment of soil health. The captured reflectance measurements correspond to locations distributed within the pilot areas of Lithuania and are indicated after the analysis of EO multispectral imagery, aiming to create a collection of point locations that well represent the soil characteristics of the area, and provide valuable information about soil condition through the estimations of the following soil properties: Sand % Clay % Silt % Electrical Conductivity (mS/m) pH Calcium carbonate % Soil Organic Carbon % The dataset is delivered in a shapefile format (DIONE_LT_point_estimations_2022_WP4.shp - EPSG:4326 - WGS 84) containing the following fields: Description of the information contained in the corresponding "LT points estimations" dataset Field  Type  Description Sample ID String  Unique ID Lat Real  Latitude  Lon Real  Longitude Sand  Real  Sand fraction Clay Real  Clay fraction Silt Real  Silt fraction EC  Real  Electrical Conductivity ph_H20 Real  ph CaCO3 Real  Calcium Carbonate SOC  Real  Soil Organic Carbon

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7152717

Tags

  • soil-properties
  • common-agriculture-policy
  • soil-scanning-system

Topics

Categories